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Agent Skill · 研究检索

content-trend-researcher(内容 trend researcher)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

content-trend-researcher 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 39,257。

总安装 1,443周安装 62GitHub Stars 175下载 506核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:content-trend-researcher(内容 trend researcher)
来源仓库:https://github.com/nicepkg/ai-workflow
仓库路径:skills/content-trend-researcher
安装命令:
npx skills add https://github.com/nicepkg/ai-workflow --skill content-trend-researcher
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/nicepkg/ai-workflow --skill content-trend-researcher

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

跨平台分析趋势信号,助力创作者捕捉高潜力内容机会。识别热门话题、用户搜索意图与内容空白点三大核心能力。输出包含数据支撑的选题建议与结构化内容大纲。覆盖 Reddit、YouTube、ProductHunt 等 10+ 数据来源。

content-trend-researcher 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/content-trend-researcher

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/nicepkg/ai-workflow --skill content-trend-rese…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

content-trend-researcher 怎么安装?

在终端执行 npx skills add https://github.com/nicepkg/ai-workflow --skill content-trend-researcher。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

content-trend-researcher 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

content-trend-researcher 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

content-trend-researcher 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

content-trend-researcher 用的人多吗?

公开数据是累计安装 1,443 次,近一周安装 62 次,下载 506 次,GitHub 175 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

content-trend-researcher 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
content-trend-researcher

内容 trend researcher · 本页

1,443175需要联网MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Content Trend Researcher

A comprehensive content research and analysis skill designed for content creators, marketers, and publishers who need to create high-performing content based on real-world trends and user intent signals.

What This Skill Does

This skill acts as your content intelligence system, analyzing trends across 10+ platforms to help you:

  1. Identify trending topics - Find what's gaining traction across platforms
  2. Understand user intent - Analyze search patterns and engagement signals
  3. Discover content gaps - Find underserved topics with high demand
  4. Generate outlines - Create data-driven article structures optimized for engagement
  5. Platform-specific insights - Understand where different content types perform best

Capabilities

Multi-Platform Trend Analysis

  • Google Trends - Search volume trends, rising queries, regional interest
  • Google Analytics - Traffic patterns, user behavior, conversion signals
  • Substack - Newsletter trends, subscriber growth patterns
  • Medium - Article performance, tags, claps, reading time
  • Reddit - Subreddit activity, upvotes, comment engagement, trending discussions
  • LinkedIn - Professional content trends, engagement metrics
  • X (Twitter) - Viral topics, hashtag performance, thread engagement
  • Blogs - Top-ranking blog posts, backlink profiles
  • Podcasts - Episode popularity, download trends, ratings
  • YouTube - Video performance, view trends, watch time, engagement

User Intent Analysis

  • Informational intent - "How to", "What is", "Guide to"
  • Commercial intent - "Best", "Review", "Comparison", "vs"
  • Transactional intent - "Buy", "Pricing", "Discount"
  • Navigational intent - Brand searches, specific resource lookups
  • Problem-solving intent - "Fix", "Troubleshoot", "Solution"

Content Strategy Intelligence

  • Optimal content formats per platform
  • Best publishing times based on engagement data
  • Headline formulas with proven performance
  • Content length recommendations
  • Topic clustering and pillar content identification

Outline Generation

Creates comprehensive article outlines including:

  • SEO-optimized titles with user intent matching
  • H2/H3 structure based on search patterns
  • Key points to cover from top-performing content
  • Suggested word count and content depth
  • Internal linking opportunities
  • Call-to-action recommendations
  • Multimedia suggestions (images, videos, infographics)

When to Use This Skill

Before creating any content:

  • Research trending topics in your niche
  • Validate content ideas with data
  • Find content gaps competitors are missing
  • Understand what format works best for your topic

For content strategy:

  • Build editorial calendars based on trends
  • Identify pillar content opportunities
  • Plan content clusters around hot topics
  • Optimize existing content for better performance

For competitive analysis:

  • See what's working for competitors
  • Find underserved audiences
  • Discover new content angles
  • Benchmark your performance

Example Invocations

Basic Topic Research

@content-trend-researcher

Topic: "AI automation for small businesses"
Platforms: Google Trends, Reddit, LinkedIn, YouTube
Intent: Informational

Deep Platform Analysis

@content-trend-researcher

Topic: "Remote work productivity tools"
Platforms: ALL
Include: User intent breakdown, content gap analysis, 3 article outlines
Target audience: SaaS founders and product managers

Competitive Content Research

@content-trend-researcher

Topic: "Email marketing strategies 2025"
Platforms: Medium, Substack, Top blogs
Analyze: Top 10 performing articles
Output: Outline that fills content gaps

Multi-Format Strategy

@content-trend-researcher

Topic: "Sustainable fashion"
Platforms: Instagram, TikTok, YouTube, Pinterest, Blogs
Output: Platform-specific content ideas + 1 long-form blog outline

Input Format

Provide the following information:

{
  "topic": "Your main topic or keyword",
  "platforms": ["Google Trends", "Reddit", "YouTube", "etc."],
  "intent_focus": "informational|commercial|transactional|all",
  "target_audience": "Description of your audience",
  "content_type": "blog|article|newsletter|video script|social post",
  "analysis_depth": "quick|standard|deep",
  "number_of_outlines": 1-5
}

Output Format

The skill returns a comprehensive research report:

{
  "topic_overview": {
    "search_volume": "Monthly search volume estimate",
    "trend_direction": "rising|stable|declining",
    "competition_level": "low|medium|high",
    "opportunity_score": 1-100
  },
  "platform_insights": [
    {
      "platform": "Platform name",
      "trending_content": [],
      "engagement_metrics": {},
      "best_practices": [],
      "content_format": "Recommended format"
    }
  ],
  "user_intent_analysis": {
    "primary_intent": "Intent type",
    "intent_breakdown": {
      "informational": "percentage",
      "commercial": "percentage",
      "transactional": "percentage"
    },
    "top_questions": [],
    "search_patterns": []
  },
  "content_gaps": [
    {
      "gap": "Description of underserved topic",
      "opportunity": "Why this is valuable",
      "difficulty": "low|medium|high"
    }
  ],
  "article_outlines": [
    {
      "title": "SEO-optimized title",
      "subtitle": "Engaging subtitle",
      "target_word_count": 1500-2000,
      "structure": [
        {
          "heading": "H2 heading",
          "subheadings": ["H3", "H3"],
          "key_points": [],
          "research_notes": "Data supporting this section"
        }
      ],
      "seo_keywords": [],
      "internal_links": [],
      "multimedia_suggestions": [],
      "cta": "Suggested call-to-action"
    }
  ],
  "recommendations": {
    "publishing_schedule": "Best days/times",
    "content_format": "Recommended format",
    "promotion_strategy": "Where to share",
    "follow_up_topics": []
  }
}

Best Practices

  1. Be specific with topics - "AI for small business accounting" beats "AI"
  2. Choose relevant platforms - Where your audience actually consumes content
  3. Analyze intent carefully - Match your content to what users want
  4. Look for gaps - The best content fills needs others miss
  5. Use data to validate - Don't assume, verify with trend data
  6. Update regularly - Trends change; research monthly for active topics

Limitations

  • Real-time data requires API access to platforms (not included in skill)
  • Some platforms limit data access (e.g., X API changes)
  • Search volume estimates are approximations
  • Trend data represents past performance, not future guarantees
  • Platform-specific metrics depend on data availability

Integration with Other Skills

This skill works great combined with:

  • SEO optimization skills - Use outlines for optimized content
  • Social media scheduling skills - Plan promotion around trends
  • Email newsletter skills - Create newsletters based on trending topics
  • Competitive analysis skills - Deeper competitor research
  • Content calendar skills - Schedule content based on trend timing

Technical Notes

  • Uses trend analysis algorithms to identify rising topics
  • Intent classification based on keyword patterns and SERP analysis
  • Outline generation follows proven content frameworks (AIDA, PAS, etc.)
  • Platform insights based on engagement metrics and algorithm signals
  • Content gap identification through comparative analysis

Privacy & Ethics

  • Does not access private user data
  • Uses publicly available trend data and metrics
  • Respects platform terms of service
  • No scraping of paywalled or private content
  • Trend analysis is statistical, not surveillance

Version: 1.0.0 Last Updated: October 21, 2025 Compatibility: Claude.ai, Claude Code, Claude API (with Code Execution Tool)

平台分布

Claude Code

27.63%
按下载量换算140

OpenCode

22.44%
按下载量换算114

Cursor

16.51%
按下载量换算84

Gemini CLI

13.68%
按下载量换算69

trae

8.7%
按下载量换算44

Antigravity

4%
按下载量换算20

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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